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Financial intelligence / For independent traders

More signal.
Less guesswork.

Four analytical perspectives. Explainable scores. Built for your trading workflow.

See the method
Rule-based scores. Optional AI-enriched summaries.
ACME.NYAcme CorpUSD · Swing
Demo data
Composite score
7.3 / 10
RecommendationModerate buy
Reserve — Valuation less favourable than the other dimensions.
AgentScore · Weight
Updated 9 Oct 2026, 14:32 ETRule-based scores · AI summary optional
Method

See what builds
the signal.

01

Fundamentals

Examine profitability, growth and financial health.

02

Technical

Put trends, momentum and volatility in context.

03

News & sentiment

Review the news and sentiment behind the analysis.

04

Valuation

Examine valuation estimates and their assumptions.

Rule-based scores. Optional AI-enriched summaries. The AI layer never changes calculated scores.

Workflow

Your edge.
Your workflow.

Work with structured outputs and readable reports across the project’s existing interfaces.

  • API
  • JSON
  • Markdown
  • PDF
  • Telegram
analysis.jsonDemo data
{
  "ticker": "ACME.NY",
  "profile": "swing",
  "score": 7.3,
  "recommendation": "moderate_buy",
  "agents": {
    "fundamentals": { "score": 8.0, "weight": 0.25 },
    "technical":    { "score": 7.5, "weight": 0.30 },
    "news":         { "score": 7.0, "weight": 0.20 },
    "valuation":    { "score": 6.5, "weight": 0.25 }
  },
  "demo": true
}
History

Follow the thesis.

Review how scores and recommendations change between analyses.

ACME.NY · SwingIllustrative example
ACME.NY analysis history (illustrative example)
AnalysisScoreChangeRecommendationMain driver
9 Oct 20267.3+0.4 ptsModerate buyTechnical
2 Oct 20266.9+0.3 ptsHoldNews & sentiment
25 Sep 20266.6−0.5 ptsHoldValuation
18 Sep 20267.1First runModerate buy—
FAQ

Questions

Each analytical dimension follows rules and weights adapted to the selected profile.

Make the next move informed.